AI Engineer

Strange Loop automates business processes at the world’s largest companies, governments, and institutions.

We’re building an AI agent platform that processes unstructured data and reasons how to solve hard customer problems. We work alongside teams at F500s to build a deep understanding of their workflows, knowledge, tools, goals, and bottlenecks. Finally, we automate their processes end-to-end using our AI platform.

We’re senior engineers from Amazon Alexa and AWS AI. We’ve built AI platforms used by millions of users and dozens of F100s, including Lyft, Cisco, Liberty Mutual, and the NFL.

This is a great time to join Strange Loop. Over the past year, we partnered with some of the largest financial institutions in the world, grew revenue from zero to seven figures (and became profitable), and raised from top AI investors.

About the Role

Strange Loop engineers work across the entire AI stack and own customer relationships end-to-end, from understanding their business need to designing solutions to delivering outcomes. As a Strange Loop AI Engineer, you will:

• Work closely with customer, from executives to end users, to deeply understand their problems and needs.

• Train, test, deploy, and operate propietary and public multimodal models that power our core AI platform.

• Build and deploy efficient, scalable systems that deliver a fantastic AI experience to our customers.

• Design novel AI UX patterns that integrate into our customers workflows and to

Life at Guru

Working at Guru means:

• Maximizing our team’s freedom & responsibility. We spend 99% of our time building, have no PMs and no standing meetings, ship early and often, have 100% CI/CD pipelines — and everybody handles customer support. This will be the best building environment of your career.

• A lean, talent-dense team. We believe the best work of our careers come from small, talented teams with maximum trust working on big problems. Like WhatsApp and Midjourney, we want people to be shocked at how much impact each engineer has.

• Working remotely. Our whole team works from home, across many different timezones. We find that this is the best environment for deep work and thoughtful planning. We communicate and coordinate asynchronously as much as possible, and trust each other deeply.

• Defining a new kind of software firm: Everyone at Guru is focused on identifying organizational problems and running experiments to improve them. Our goal is to build the greatest engineering environment of our careers.

• Own relationships with iconic customers end-to-end. We believe the best way to build high-quality AI systems is for AI engineers to be the primary interface to the customer. You’ll wear sales, PM, and customer service hats in your day-to-day.

• Being part of a learning organization. AI is a rapidly changing field. We believe the best AI products come from interdisciplinary builders & fast learners. Everyone on the team works on and grows their skills with every component of our stack: training models, data engineering, operating inference pipelines, and designing AI-native UX.

• We believe arrogance is a midwit trait. The most inspiring people we’ve worked with are wickedly smart, high performers, clear communicators, and humble. We don’t tolerate talented jerks.

ML Requirements

We love if our candidates have past experience with ML, but it isn't a deal-breaker. An engineer that is passionate about getting into ML will thrive at Guru. We provide the resources, time, and space to be able to learn whatever ML techniques will best serve our customers